DocumentCode :
2706387
Title :
Delay-dependent controller design for nonlinear system with time-varying delay based on neural networks
Author :
Shao, Keyong ; Gao, Hongyu ; Gao, Ming
Author_Institution :
Sch. of Electr. & Inf. Eng., Daqing Pet. Inst., Heilongjiang
fYear :
2008
fDate :
21-24 April 2008
Firstpage :
1
Lastpage :
5
Abstract :
A new method is proposed to design delay-dependent stability controller for nonlinear systems with time-varying delay in this paper. It is presented by introducing a new type of Lyapunov function. Different from the general processing method, no any term is ignored during the process of analyzing. The controller is obtained by considering the additional useful terms, which were ignored in previous works. Otherwise, the upper bound of a constant delay h is bigger, which decreases the conservative of the systems. An simulation example demonstrates the effectiveness and the merits of the proposed method.
Keywords :
Lyapunov methods; control system synthesis; delays; neurocontrollers; nonlinear control systems; time-varying systems; Lyapunov function; delay-dependent controller design; delay-dependent stability controller; neural networks; nonlinear system; time-varying delay; Control systems; Delay systems; Lyapunov method; Neural networks; Nonlinear control systems; Nonlinear systems; Petroleum; Stability; Time varying systems; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1705-6
Electronic_ISBN :
978-1-4244-1706-3
Type :
conf
DOI :
10.1109/ICIT.2008.4608479
Filename :
4608479
Link To Document :
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